Project Proposal

ELC 5396: Introduction to Deep Learning

Dusty Turner

Here’s a Commmon Problem

You see a plot in the wild and you want the data

Bar Chart

Scatter Plot

Histogram

How can I get the data?

  1. Google it

  2. Email source

  3. Hand jam

  4. What else?

Proposal

Create a neural network that will generate the data from a plot*

Limitations

  1. There are many different types of charts (Bar chart, scatter plot, histogram, etc)

Limitations

  1. There are many different variations of each chart type (Axis labels, legends, colors, etc)

Limitations

  1. There are many different scales (Left, right, top)

Limitations

  1. There are different resolutions (words and numbers difficult to read)

Scope

  1. Only Bar Charts
  2. Max bar heigth of 100
  3. Min value of 0
  4. From 2 to 15 bars
  5. Greyscale

Benchmark

Using MSE, beat ChatGPT 4.

Citations

  • Barber, Jacqueline & Brutin, David & Tadrist, Lounes. (2011). A review on boiling heat transfer enhancement with nanofluids. Nanoscale Research Letters. 6. 280. 10.1186/1556-276X-6-280.

  • Shih, Y.-W., Tsai, H.-Y., Lin, F.-S., Lin, Y.-H., Chiang, C.-Y., Lu, Z.-L., & Tseng, M.-T. (2019). Effects of Positive and Negative Expectations on Human Pain Perception Engage Separate But Interrelated and Dependently Regulated Cerebral Mechanisms. Journal of Neuroscience, 39(7), 1261–1274. Link

  • The New York Times. (2018, November 22). What’s Going On in This Graph? | Nov. 28, 2018. The New York Times. Link